Bearing Fault Detection Using Multi-Scale Fractal Dimensions Based on Morphological Covers
نویسندگان
چکیده
منابع مشابه
Bearing Fault Detection Based on Maximum Likelihood Estimation and Optimized ANN Using the Bees Algorithm
Rotating machinery is the most common machinery in industry. The root of the faults in rotating machinery is often faulty rolling element bearings. This paper presents a technique using optimized artificial neural network by the Bees Algorithm for automated diagnosis of localized faults in rolling element bearings. The inputs of this technique are a number of features (maximum likelihood estima...
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ژورنال
عنوان ژورنال: Shock and Vibration
سال: 2012
ISSN: 1070-9622,1875-9203
DOI: 10.1155/2012/438789